826 to 850 of 2,927 Machine Learning Jobs in London

CloudFormation. Data Platform Enablement: Architect and build the foundational cloud services required to support modern data platforms, including data lakes, data warehouses, and machine learning environments. Automation & CI/CD: Develop and manage CI/CD pipelines to automate the deployment, testing, and integration of infrastructure and applications. ...

make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption ...

quality. Working knowledge of Python or another programming language for analysis. Familiarity with Git, version control and modern analytics workflows. Good understanding of AI, machine learning concepts and their practical application. Ability to mentor others and raise the quality of analytical work across a team. Knowledge of music ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join our Central Operations ...

across UK, US and Hyderabad teams. Create a culture of experimentation, pace, quality and responsible AI delivery. You Have: Significant experience in applied AI, machine learning, data science, analytics engineering, automation or AI-enabled transformation. Strong understanding of generative AI, LLMs, RAG, agents, workflow automation, prompt engineering, evaluation ...

within a B2B SaaS company. You have experience in building AI applications within financial services You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What ...

Azure, GCP) and its associated data products Experience with Snowflake Cortex Code. Experience applying Snowflake capabilities to data engineering, analytics and, where relevant, machine learning and AI workloads. Experience establishing enterprise governance capabilities such as metadata management, lineage, data quality controls and access controls. Experience with production-grade ...

, or related field Job Skills Python LLM Fine-Tuning NLP RAG Architectures Vector Databases SQL Generation PyTorch/Transformers As an AI/ML Engineer at Nexalytica, you will design and improve the core intelligence layer that powers our conversational analytics platform. Your work will directly determine how well … just impressive. You care about evaluation, reliability, and user trust as much as you care about model architecture. 3–5 years of experience building ML/NLP systems in production. Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow . Hands-on experience with large language models, prompt ...

business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that ...

integrations Interest in leveraging AI for cloud security monitoring and automation Contributions to open-source cloud security projects Experience with securing AI/ML workloads in cloud environments Experience in banking, money transmission, P2P payments, or similarly regulated financial platforms. #J-18808-Ljbffr ...

experience with trust and safety. Experience with stakeholder management. Preferred qualifications: Master's degree or PhD in relevant field. Education in, or experience with, machine learning. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python). ...

technical and business audiences Experience in at least one of these technology areas: DevOps, serverless, software development and design, CI/CD, AI/ML, Storage, Networking or Databases Experience managing technical projects consisting of 4 or more people totaling over a $250,000 budget Experience managing engagements using both ...

however candidates must be within commutable distance of the London office for occasional onsite visits). This is a highly hands‐on, AI/ML-enabled engineering position focused on building the platforms and automation that power modern software and AI workloads across the firm. The successful candidate must ...

/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ML components that complement optimisation (forecasting, demand estimation, delay prediction). Technical skills & tools Optimisation: Gurobi (or equivalent), model libraries/APIs, batching/warm starts, parameter ...

enterprise customers Comfort engaging CTO-level stakeholders as a technical peer, translating complex cross-domain technical work into strategic recommendations Familiarity with AI/ML services and practical experience using AI-assisted tooling to accelerate technical reviews, discovery, or operational analysis Professional oral and written communication skills, presenting ...

into AI-driven solutions Support pre‐sales activities, including client workshops, technical presentations, solution scoping and proposal development Evaluate and select appropriate AI/ML and agent frameworks, tools and platforms to meet project requirements Guide teams in best practices for model development, deployment and monitoring in production environments Ensure … solutions are scalable, secure and compliant with industry standards Mentor and support engineering teams in AI/ML methodologies and technologies Stay current with the latest advancements in AI, GenAI and cloud technologies Contribute to proposals, client presentations and thought leadership within the AI domain Partner with sales and account ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

visualisations and storytelling. Support the definition of AI & Data strategies for industry‐leading businesses. Be part of a thriving early careers community, with continuous learning and development opportunities designed to help you grow, build confidence and succeed throughout your career journey. Why join us & what we offer … award‐winning Analyst "Runway" training programme, giving you the confidence and capabilities to succeed as your career evolves. Specialised training in AI, machine learning, cloud platforms and data visualisation. Certifications and development through hands‐on projects, hackathons and more. Exposure and access to cutting‐edge tools and technology ...

Systems Digital Intelligence in London is seeking a Senior ML Engineer to design, optimize and productionize machine learning and GenAI solutions for national security problems. You will collaborate with Data Scientists, Software Engineers, Product Management and Government stakeholders across the full lifecycle from hypothesis through production deployment. ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Experience dealing with stakeholders, working with a wider tech team, collabortation etc Experience designing, testing and deploying production-scale GenAI … just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option ...

Market, Business Development, Sales, or Consulting experience 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience Preferred Qualifications Experience interpreting data and making business recommendations ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects ...